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stat.ME2025
Optimal Stopping for Sequential Bayesian Experimental Design
Chen Cheng, Xun Huan
Sequential Bayesian experimental design is often formulated as a fixed-horizon policy optimization problem, in which the number of experiments is specified before data collection b…
stat.ML2025
Some Robustness Properties of Label Cleaning
Chen Cheng, John Duchi
We demonstrate that learning procedures that rely on aggregated labels, e.g., label information distilled from noisy responses, enjoy robustness properties impossible without data…
math.ST2025
State evolution beyond first-order methods I: Rigorous predictions and finite-sample guarantees
Michael Celentano, Chen Cheng, Ashwin Pananjady +1
We develop a toolbox for exact analysis of iterative algorithms on a class of high-dimensional nonconvex optimization problems with random data. While prior work has shown that low…